Simplified firefly algorithm for 2D image key-points search

Author

Napoli, C. ; Pappalardo, G. ; Tramontana, E. ; Marszalek, Z. ; Polap, D. ; Wozniak, M.

Author_Institution

Dept. of Math. & Inf., Univ. of Catania, Catania, Italy

fYear

2014

fDate

9-12 Dec. 2014

Firstpage

1

Lastpage

8

Abstract

In order to identify an object, human eyes firstly search the field of view for points or areas which have particular properties. These properties are used to recognise an image or an object. Then this process could be taken as a model to develop computer algorithms for images identification. This paper proposes the idea of applying the simplified firefly algorithm to search for key-areas in 2D images. For a set of input test images the proposed version of firefly algorithm has been examined. Research results are presented and discussed to show the efficiency of this evolutionary computation method.

Keywords

evolutionary computation; image recognition; object recognition; 2D image key-points search; computer algorithm; evolutionary computation method; human eyes; image identification; image recognition; object recognition; simplified firefly algorithm; Computational modeling; Computers; Object recognition; Search problems; Sociology; Statistics; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Human-like Intelligence (CIHLI), 2014 IEEE Symposium on

Conference_Location

Orlando, FL

Type

conf

DOI

10.1109/CIHLI.2014.7013395

Filename

7013395